BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

157 related articles for article (PubMed ID: 29749513)

  • 1. Bioinformatics analysis of key differentially expressed genes in well and poorly differentiated endometrial carcinoma.
    Zang Y; Dong M; Zhang K; Tian W; Wang Y; Xue F
    Mol Med Rep; 2018 Jul; 18(1):467-476. PubMed ID: 29749513
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Identification of candidate biomarkers and pathways associated with SCLC by bioinformatics analysis.
    Wen P; Chidanguro T; Shi Z; Gu H; Wang N; Wang T; Li Y; Gao J
    Mol Med Rep; 2018 Aug; 18(2):1538-1550. PubMed ID: 29845250
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Identification of six candidate genes for endometrial carcinoma by bioinformatics analysis.
    Zhu Y; Shi L; Chen P; Zhang Y; Zhu T
    World J Surg Oncol; 2020 Jul; 18(1):161. PubMed ID: 32641130
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Identification of key pathways and genes in endometrial cancer using bioinformatics analyses.
    Liu Y; Hua T; Chi S; Wang H
    Oncol Lett; 2019 Jan; 17(1):897-906. PubMed ID: 30655845
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Bioinformatics analysis and experimental validation of differentially expressed genes in mouse articular chondrocytes treated with IL-1β using microarray data.
    Liang F; Peng L; Ma YG; Hu W; Zhang WB; Deng M; Li YM
    Exp Ther Med; 2022 Jan; 23(1):6. PubMed ID: 34815758
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Identification of key genes and pathways between type I and type II endometrial cancer using bioinformatics analysis.
    Zhang K; Li H; Yan Y; Zang Y; Li K; Wang Y; Xue F
    Oncol Lett; 2019 Sep; 18(3):2464-2476. PubMed ID: 31452737
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Integrated bioinformatics analysis reveals key candidate genes and pathways in breast cancer.
    Wang Y; Zhang Y; Huang Q; Li C
    Mol Med Rep; 2018 Jun; 17(6):8091-8100. PubMed ID: 29693125
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Screening and identification of key biomarkers in hepatocellular carcinoma: Evidence from bioinformatic analysis.
    Li L; Lei Q; Zhang S; Kong L; Qin B
    Oncol Rep; 2017 Nov; 38(5):2607-2618. PubMed ID: 28901457
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Identification of key candidate genes and pathways in endometrial cancer: Evidence from bioinformatics analysis.
    Lv S; Xu X; Wu Z
    Oncol Lett; 2019 Dec; 18(6):6679-6689. PubMed ID: 31807178
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Key signaling pathways, genes and transcription factors associated with hepatocellular carcinoma.
    Wang J; Tian Y; Chen H; Li H; Zheng S
    Mol Med Rep; 2018 Jun; 17(6):8153-8160. PubMed ID: 29658607
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Analysis of differentially expressed genes between endometrial carcinosarcomas and endometrioid endometrial carcinoma by bioinformatics.
    Lin H; Zhang M; Yu H; Zhang H; Li Y; Xu J; Chen X; Chen Y
    Arch Gynecol Obstet; 2016 May; 293(5):1073-9. PubMed ID: 26374646
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Investigation of crucial genes and microRNAs in conventional osteosarcoma using gene expression profiling analysis.
    Peng C; Yang Q; Wei B; Yuan B; Liu Y; Li Y; Gu D; Yin G; Wang B; Xu D; Zhang X; Kong D
    Mol Med Rep; 2017 Nov; 16(5):7617-7624. PubMed ID: 28944822
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Identification of differentially expressed genes and enriched pathways in lung cancer using bioinformatics analysis.
    Long T; Liu Z; Zhou X; Yu S; Tian H; Bao Y
    Mol Med Rep; 2019 Mar; 19(3):2029-2040. PubMed ID: 30664219
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Identification of candidate biomarkers and analysis of prognostic values in ovarian cancer by integrated bioinformatics analysis.
    Xu Z; Zhou Y; Cao Y; Dinh TL; Wan J; Zhao M
    Med Oncol; 2016 Nov; 33(11):130. PubMed ID: 27757782
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Identification of the interaction network of hub genes for melanoma treated with vemurafenib based on microarray data.
    Quan L; Wang Y; Liang J; Shi J; Zhang Y; Tao K
    Tumori; 2015; 101(4):368-74. PubMed ID: 25983087
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Identification of key genes and microRNAs involved in kidney Wilms tumor by integrated bioinformatics analysis.
    Zhang L; Gao X; Zhou X; Qin Z; Wang Y; Li R; Tang M; Wang W; Zhang W
    Exp Ther Med; 2019 Oct; 18(4):2554-2564. PubMed ID: 31555364
    [TBL] [Abstract][Full Text] [Related]  

  • 17. The identification of key genes and pathways in hepatocellular carcinoma by bioinformatics analysis of high-throughput data.
    Zhang C; Peng L; Zhang Y; Liu Z; Li W; Chen S; Li G
    Med Oncol; 2017 Jun; 34(6):101. PubMed ID: 28432618
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Integrated Bioinformatics Analysis of Master Regulators in Anaplastic Thyroid Carcinoma.
    Pan Z; Li L; Fang Q; Qian Y; Zhang Y; Zhu J; Ge M; Huang P
    Biomed Res Int; 2019; 2019():9734576. PubMed ID: 31183379
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Identification of key differentially expressed genes associated with non‑small cell lung cancer by bioinformatics analyses.
    Xiao Y; Feng M; Ran H; Han X; Li X
    Mol Med Rep; 2018 May; 17(5):6379-6386. PubMed ID: 29532892
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Tetraspanin family identified as the central genes detected in gastric cancer using bioinformatics analysis.
    Qi W; Sun L; Liu N; Zhao S; Lv J; Qiu W
    Mol Med Rep; 2018 Oct; 18(4):3599-3610. PubMed ID: 30106120
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.